SpamBase (2% of outliers version#09)
A data set representing emails classified as spam (outliers) or nonspam.
Download all data set variants used (25.4 MB). You can also access the original data. (spambase.data)
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 57 attributes, 2579 objects, 51 outliers (1.98%)
Download raw algorithm results (23.1 MB) Download raw algorithm evaluation table (66.1 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 1 | 0.07843 | 0.05984 | 0.08992 | 0.07156 | 0.16860 | 0.15183 | 0.81093 |
KNN | 3 | 0.11765 | 0.09985 | 0.09173 | 0.07341 | 0.18085 | 0.16433 | 0.80142 |
KNN | 6 | 0.11765 | 0.09985 | 0.08608 | 0.06764 | 0.18182 | 0.16531 | 0.79170 |
KNNW | 1 | 0.13725 | 0.11985 | 0.08367 | 0.06518 | 0.18834 | 0.17197 | 0.78520 |
KNNW | 3 | 0.11765 | 0.09985 | 0.08994 | 0.07159 | 0.17094 | 0.15421 | 0.81283 |
KNNW | 4 | 0.13725 | 0.11985 | 0.09147 | 0.07314 | 0.17391 | 0.15725 | 0.81193 |
LOF | 12 | 0.00000 | -0.02017 | 0.05184 | 0.03271 | 0.12308 | 0.10539 | 0.78241 |
LOF | 56 | 0.05882 | 0.03984 | 0.05952 | 0.04055 | 0.13636 | 0.11894 | 0.75353 |
LOF | 73 | 0.05882 | 0.03984 | 0.06519 | 0.04633 | 0.15225 | 0.13515 | 0.76648 |
LOF | 83 | 0.03922 | 0.01983 | 0.06645 | 0.04762 | 0.14672 | 0.12950 | 0.77165 |
SimplifiedLOF | 19 | 0.00000 | -0.02017 | 0.04371 | 0.02442 | 0.10526 | 0.08721 | 0.76646 |
SimplifiedLOF | 69 | 0.03922 | 0.01983 | 0.04041 | 0.02106 | 0.09226 | 0.07394 | 0.71464 |
SimplifiedLOF | 100 | 0.03922 | 0.01983 | 0.05308 | 0.03397 | 0.12155 | 0.10383 | 0.73608 |
LoOP | 19 | 0.03922 | 0.01983 | 0.04853 | 0.02934 | 0.10742 | 0.08941 | 0.77634 |
LoOP | 87 | 0.07843 | 0.05984 | 0.06512 | 0.04626 | 0.14984 | 0.13269 | 0.77017 |
LoOP | 100 | 0.05882 | 0.03984 | 0.06747 | 0.04866 | 0.15753 | 0.14054 | 0.77430 |
LDOF | 39 | 0.01961 | -0.00017 | 0.04709 | 0.02787 | 0.11268 | 0.09478 | 0.76324 |
LDOF | 98 | 0.05882 | 0.03984 | 0.05859 | 0.03960 | 0.12594 | 0.10831 | 0.74997 |
LDOF | 100 | 0.05882 | 0.03984 | 0.05903 | 0.04005 | 0.12979 | 0.11224 | 0.75118 |
ODIN | 74 | 0.05882 | 0.03984 | 0.05587 | 0.03683 | 0.14286 | 0.12557 | 0.75074 |
ODIN | 99 | 0.05882 | 0.03984 | 0.06277 | 0.04386 | 0.16162 | 0.14470 | 0.76402 |
FastABOD | 5 | 0.07843 | 0.05984 | 0.07418 | 0.05550 | 0.17668 | 0.16007 | 0.77867 |
FastABOD | 46 | 0.11765 | 0.09985 | 0.07900 | 0.06042 | 0.18065 | 0.16412 | 0.77145 |
FastABOD | 85 | 0.11765 | 0.09985 | 0.08297 | 0.06447 | 0.19310 | 0.17683 | 0.77577 |
FastABOD | 94 | 0.11765 | 0.09985 | 0.08310 | 0.06461 | 0.19178 | 0.17548 | 0.77630 |
KDEOS | 5 | 0.05882 | 0.03984 | 0.02852 | 0.00892 | 0.06522 | 0.04636 | 0.58457 |
KDEOS | 7 | 0.05882 | 0.03984 | 0.02859 | 0.00900 | 0.08772 | 0.06931 | 0.59567 |
KDEOS | 19 | 0.01961 | -0.00017 | 0.03083 | 0.01128 | 0.06674 | 0.04791 | 0.68057 |
KDEOS | 37 | 0.01961 | -0.00017 | 0.03490 | 0.01543 | 0.06157 | 0.04264 | 0.65600 |
LDF | 5 | 0.07843 | 0.05984 | 0.04915 | 0.02997 | 0.10798 | 0.08999 | 0.75413 |
LDF | 50 | 0.08333 | 0.06484 | 0.04144 | 0.02210 | 0.10811 | 0.09012 | 0.60901 |
LDF | 56 | 0.07463 | 0.05596 | 0.04372 | 0.02443 | 0.14054 | 0.12320 | 0.63579 |
LDF | 96 | 0.07843 | 0.05984 | 0.05380 | 0.03471 | 0.10582 | 0.08778 | 0.71166 |
INFLO | 51 | 0.05882 | 0.03984 | 0.05654 | 0.03751 | 0.12295 | 0.10526 | 0.75067 |
INFLO | 72 | 0.05882 | 0.03984 | 0.06752 | 0.04871 | 0.16935 | 0.15260 | 0.77655 |
INFLO | 83 | 0.05882 | 0.03984 | 0.06877 | 0.04999 | 0.16867 | 0.15190 | 0.78472 |
COF | 20 | 0.03922 | 0.01983 | 0.05486 | 0.03579 | 0.13068 | 0.11314 | 0.79079 |
COF | 27 | 0.01961 | -0.00017 | 0.05656 | 0.03753 | 0.13253 | 0.11503 | 0.78538 |
COF | 30 | 0.01961 | -0.00017 | 0.05610 | 0.03706 | 0.13636 | 0.11894 | 0.77840 |
COF | 81 | 0.09804 | 0.07984 | 0.04245 | 0.02314 | 0.10959 | 0.09163 | 0.67443 |
Plots
Normalized, duplicates
This version contains 57 attributes, 2844 objects, 56 outliers (1.97%)
Download raw algorithm results (23.4 MB) Download raw algorithm evaluation table (68.4 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 1 | 0.17857 | 0.16207 | 0.12870 | 0.11120 | 0.22360 | 0.20801 | 0.82994 |
KNNW | 1 | 0.23214 | 0.21672 | 0.13929 | 0.12200 | 0.25676 | 0.24183 | 0.84288 |
LOF | 3 | 0.05357 | 0.03456 | 0.04089 | 0.02163 | 0.10059 | 0.08253 | 0.68766 |
LOF | 13 | 0.03571 | 0.01635 | 0.06527 | 0.04650 | 0.14907 | 0.13198 | 0.82260 |
LOF | 15 | 0.03571 | 0.01635 | 0.06431 | 0.04552 | 0.15864 | 0.14174 | 0.82569 |
SimplifiedLOF | 15 | 0.03571 | 0.01635 | 0.05379 | 0.03478 | 0.11973 | 0.10205 | 0.80027 |
SimplifiedLOF | 26 | 0.01786 | -0.00187 | 0.04835 | 0.02924 | 0.12375 | 0.10615 | 0.79375 |
SimplifiedLOF | 96 | 0.05357 | 0.03456 | 0.03285 | 0.01343 | 0.07610 | 0.05754 | 0.68790 |
LoOP | 9 | 0.10714 | 0.08921 | 0.05748 | 0.03855 | 0.11634 | 0.09859 | 0.75908 |
LoOP | 15 | 0.08929 | 0.07099 | 0.06851 | 0.04980 | 0.15663 | 0.13969 | 0.81319 |
LoOP | 19 | 0.08929 | 0.07099 | 0.07042 | 0.05175 | 0.14961 | 0.13253 | 0.81638 |
LoOP | 25 | 0.07143 | 0.05278 | 0.06852 | 0.04981 | 0.14123 | 0.12398 | 0.82126 |
LDOF | 11 | 0.08929 | 0.07099 | 0.05175 | 0.03270 | 0.13846 | 0.12116 | 0.72916 |
LDOF | 13 | 0.10714 | 0.08921 | 0.05787 | 0.03895 | 0.12500 | 0.10742 | 0.75793 |
LDOF | 36 | 0.05357 | 0.03456 | 0.05889 | 0.03999 | 0.13187 | 0.11443 | 0.80928 |
LDOF | 95 | 0.03571 | 0.01635 | 0.06180 | 0.04295 | 0.10722 | 0.08928 | 0.76745 |
ODIN | 46 | 0.07451 | 0.05592 | 0.06039 | 0.04152 | 0.13665 | 0.11930 | 0.77741 |
ODIN | 67 | 0.09550 | 0.07733 | 0.06596 | 0.04720 | 0.14449 | 0.12730 | 0.76973 |
ODIN | 78 | 0.09354 | 0.07533 | 0.06920 | 0.05051 | 0.15702 | 0.14009 | 0.77310 |
ODIN | 88 | 0.08929 | 0.07099 | 0.07065 | 0.05198 | 0.15584 | 0.13889 | 0.77366 |
FastABOD | 20 | 0.10714 | 0.08921 | 0.07547 | 0.05690 | 0.16342 | 0.14662 | 0.81182 |
FastABOD | 21 | 0.10714 | 0.08921 | 0.07543 | 0.05686 | 0.16406 | 0.14727 | 0.81075 |
FastABOD | 27 | 0.12500 | 0.10742 | 0.07471 | 0.05612 | 0.15909 | 0.14220 | 0.80927 |
FastABOD | 77 | 0.12500 | 0.10742 | 0.08632 | 0.06797 | 0.15441 | 0.13743 | 0.80845 |
KDEOS | 4 | 0.07143 | 0.05278 | 0.04217 | 0.02293 | 0.10243 | 0.08440 | 0.69526 |
KDEOS | 26 | 0.01786 | -0.00187 | 0.04478 | 0.02560 | 0.09945 | 0.08136 | 0.75104 |
KDEOS | 33 | 0.07143 | 0.05278 | 0.04490 | 0.02572 | 0.09003 | 0.07175 | 0.74472 |
LDF | 5 | 0.05357 | 0.03456 | 0.06422 | 0.04543 | 0.12757 | 0.11005 | 0.81299 |
LDF | 9 | 0.10491 | 0.08693 | 0.04976 | 0.03068 | 0.11268 | 0.09485 | 0.73805 |
INFLO | 3 | 0.05357 | 0.03456 | 0.04433 | 0.02514 | 0.11111 | 0.09326 | 0.71151 |
INFLO | 13 | 0.03571 | 0.01635 | 0.06369 | 0.04489 | 0.15808 | 0.14116 | 0.81210 |
INFLO | 14 | 0.03571 | 0.01635 | 0.06382 | 0.04502 | 0.15232 | 0.13529 | 0.81505 |
INFLO | 15 | 0.03571 | 0.01635 | 0.06373 | 0.04492 | 0.14887 | 0.13177 | 0.81984 |
COF | 11 | 0.07143 | 0.05278 | 0.04989 | 0.03081 | 0.10969 | 0.09181 | 0.77572 |
COF | 12 | 0.05357 | 0.03456 | 0.05439 | 0.03540 | 0.12040 | 0.10273 | 0.80003 |
COF | 23 | 0.01786 | -0.00187 | 0.05963 | 0.04074 | 0.14760 | 0.13048 | 0.77695 |
COF | 29 | 0.03571 | 0.01635 | 0.06064 | 0.04177 | 0.12871 | 0.11121 | 0.79525 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 2579 objects, 51 outliers (1.98%)
Download raw algorithm results (22.4 MB) Download raw algorithm evaluation table (60.4 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 1 | 0.23529 | 0.21987 | 0.16155 | 0.14464 | 0.28571 | 0.27130 | 0.84011 |
KNN | 3 | 0.21569 | 0.19986 | 0.17660 | 0.15999 | 0.27586 | 0.26125 | 0.82806 |
KNNW | 1 | 0.25490 | 0.23987 | 0.15560 | 0.13856 | 0.26804 | 0.25327 | 0.79671 |
KNNW | 2 | 0.25490 | 0.23987 | 0.16247 | 0.14557 | 0.27027 | 0.25555 | 0.84138 |
KNNW | 6 | 0.21569 | 0.19986 | 0.17820 | 0.16162 | 0.28169 | 0.26720 | 0.83224 |
LOF | 10 | 0.11765 | 0.09985 | 0.04292 | 0.02361 | 0.12403 | 0.10636 | 0.61319 |
LOF | 38 | 0.11765 | 0.09985 | 0.04673 | 0.02749 | 0.13793 | 0.12054 | 0.62975 |
LOF | 100 | 0.09804 | 0.07984 | 0.06591 | 0.04707 | 0.11650 | 0.09868 | 0.70984 |
SimplifiedLOF | 47 | 0.17647 | 0.15986 | 0.06047 | 0.04152 | 0.18000 | 0.16346 | 0.63546 |
SimplifiedLOF | 49 | 0.17647 | 0.15986 | 0.06067 | 0.04172 | 0.18557 | 0.16914 | 0.63896 |
SimplifiedLOF | 100 | 0.13725 | 0.11985 | 0.06973 | 0.05096 | 0.15652 | 0.13951 | 0.69605 |
LoOP | 11 | 0.05882 | 0.03984 | 0.04280 | 0.02349 | 0.12214 | 0.10443 | 0.65562 |
LoOP | 47 | 0.13725 | 0.11985 | 0.04514 | 0.02588 | 0.14953 | 0.13238 | 0.59449 |
LoOP | 57 | 0.13725 | 0.11985 | 0.04909 | 0.02990 | 0.15730 | 0.14030 | 0.61136 |
LoOP | 58 | 0.13725 | 0.11985 | 0.04888 | 0.02969 | 0.16279 | 0.14590 | 0.61558 |
LDOF | 58 | 0.13725 | 0.11985 | 0.04065 | 0.02129 | 0.15385 | 0.13678 | 0.56110 |
LDOF | 100 | 0.09804 | 0.07984 | 0.03863 | 0.01923 | 0.12308 | 0.10539 | 0.58896 |
ODIN | 11 | 0.04651 | 0.02728 | 0.02668 | 0.00704 | 0.05839 | 0.03940 | 0.59365 |
ODIN | 40 | 0.01961 | -0.00017 | 0.02553 | 0.00587 | 0.07107 | 0.05233 | 0.54906 |
ODIN | 100 | 0.01961 | -0.00017 | 0.02860 | 0.00900 | 0.06323 | 0.04433 | 0.63065 |
FastABOD | 4 | 0.19608 | 0.17986 | 0.13895 | 0.12158 | 0.24390 | 0.22865 | 0.83331 |
FastABOD | 6 | 0.17647 | 0.15986 | 0.13987 | 0.12252 | 0.25000 | 0.23487 | 0.83689 |
FastABOD | 8 | 0.17647 | 0.15986 | 0.14379 | 0.12652 | 0.24793 | 0.23276 | 0.83808 |
FastABOD | 12 | 0.17647 | 0.15986 | 0.14354 | 0.12627 | 0.24590 | 0.23069 | 0.83920 |
KDEOS | 29 | 0.05882 | 0.03984 | 0.04887 | 0.02968 | 0.07062 | 0.05187 | 0.63420 |
KDEOS | 41 | 0.05882 | 0.03984 | 0.03447 | 0.01499 | 0.07634 | 0.05770 | 0.64051 |
KDEOS | 69 | 0.09804 | 0.07984 | 0.03636 | 0.01692 | 0.10101 | 0.08287 | 0.63463 |
KDEOS | 73 | 0.09804 | 0.07984 | 0.03460 | 0.01513 | 0.10204 | 0.08393 | 0.63373 |
LDF | 63 | 0.21569 | 0.19986 | 0.12570 | 0.10806 | 0.22764 | 0.21206 | 0.77059 |
LDF | 66 | 0.19608 | 0.17986 | 0.12834 | 0.11076 | 0.23810 | 0.22272 | 0.77088 |
LDF | 68 | 0.17647 | 0.15986 | 0.12473 | 0.10707 | 0.26562 | 0.25081 | 0.77177 |
LDF | 98 | 0.17647 | 0.15986 | 0.10825 | 0.09026 | 0.25954 | 0.24460 | 0.79326 |
INFLO | 39 | 0.11765 | 0.09985 | 0.04103 | 0.02168 | 0.13223 | 0.11472 | 0.57945 |
INFLO | 47 | 0.11765 | 0.09985 | 0.04726 | 0.02803 | 0.14458 | 0.12732 | 0.64676 |
INFLO | 89 | 0.09804 | 0.07984 | 0.05178 | 0.03265 | 0.10309 | 0.08500 | 0.69877 |
INFLO | 100 | 0.07843 | 0.05984 | 0.05664 | 0.03761 | 0.10526 | 0.08721 | 0.67342 |
COF | 92 | 0.17647 | 0.15986 | 0.10844 | 0.09045 | 0.21951 | 0.20377 | 0.72893 |
COF | 95 | 0.21569 | 0.19986 | 0.10776 | 0.08976 | 0.22000 | 0.20426 | 0.73356 |
COF | 99 | 0.21569 | 0.19986 | 0.10606 | 0.08803 | 0.22000 | 0.20426 | 0.73391 |
COF | 100 | 0.21569 | 0.19986 | 0.10757 | 0.08957 | 0.22917 | 0.21362 | 0.73319 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 2844 objects, 56 outliers (1.97%)
Download raw algorithm results (23.2 MB) Download raw algorithm evaluation table (63.4 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 1 | 0.16071 | 0.14386 | 0.12304 | 0.10542 | 0.18182 | 0.16538 | 0.80941 |
KNN | 4 | 0.17857 | 0.16207 | 0.11650 | 0.09875 | 0.17857 | 0.16207 | 0.80648 |
KNNW | 1 | 0.16071 | 0.14386 | 0.14134 | 0.12409 | 0.18301 | 0.16660 | 0.82159 |
LOF | 6 | 0.05357 | 0.03456 | 0.03314 | 0.01372 | 0.10294 | 0.08492 | 0.58327 |
LOF | 83 | 0.07143 | 0.05278 | 0.03799 | 0.01867 | 0.07286 | 0.05424 | 0.67281 |
LOF | 99 | 0.07143 | 0.05278 | 0.04182 | 0.02257 | 0.07921 | 0.06071 | 0.68883 |
LOF | 100 | 0.07143 | 0.05278 | 0.04095 | 0.02169 | 0.08000 | 0.06152 | 0.68996 |
SimplifiedLOF | 8 | 0.01786 | -0.00187 | 0.03445 | 0.01506 | 0.09859 | 0.08049 | 0.62007 |
SimplifiedLOF | 9 | 0.01786 | -0.00187 | 0.03409 | 0.01469 | 0.10582 | 0.08786 | 0.61750 |
SimplifiedLOF | 19 | 0.05357 | 0.03456 | 0.03197 | 0.01252 | 0.07692 | 0.05838 | 0.61425 |
SimplifiedLOF | 100 | 0.05357 | 0.03456 | 0.03414 | 0.01474 | 0.07052 | 0.05185 | 0.65569 |
LoOP | 6 | 0.10714 | 0.08921 | 0.03892 | 0.01962 | 0.12000 | 0.10232 | 0.60133 |
LoOP | 7 | 0.10714 | 0.08921 | 0.04072 | 0.02145 | 0.12766 | 0.11014 | 0.60044 |
LoOP | 10 | 0.08929 | 0.07099 | 0.04228 | 0.02305 | 0.11765 | 0.09992 | 0.61204 |
LoOP | 98 | 0.05357 | 0.03456 | 0.03253 | 0.01310 | 0.07246 | 0.05383 | 0.62755 |
LDOF | 3 | 0.05357 | 0.03456 | 0.03599 | 0.01663 | 0.09412 | 0.07592 | 0.56547 |
LDOF | 8 | 0.05357 | 0.03456 | 0.03258 | 0.01315 | 0.11640 | 0.09865 | 0.51249 |
LDOF | 9 | 0.07143 | 0.05278 | 0.03203 | 0.01258 | 0.10256 | 0.08454 | 0.52734 |
ODIN | 2 | 0.02947 | 0.00997 | 0.02827 | 0.00876 | 0.05887 | 0.03997 | 0.64294 |
ODIN | 13 | 0.01408 | -0.00572 | 0.02922 | 0.00973 | 0.06704 | 0.04830 | 0.63164 |
ODIN | 15 | 0.01587 | -0.00389 | 0.02871 | 0.00920 | 0.06729 | 0.04856 | 0.63116 |
ODIN | 99 | 0.04688 | 0.02773 | 0.02636 | 0.00680 | 0.06148 | 0.04262 | 0.61676 |
FastABOD | 21 | 0.12500 | 0.10742 | 0.09041 | 0.07214 | 0.17188 | 0.15524 | 0.81224 |
FastABOD | 70 | 0.16071 | 0.14386 | 0.10860 | 0.09070 | 0.17460 | 0.15802 | 0.81143 |
FastABOD | 72 | 0.16071 | 0.14386 | 0.10879 | 0.09089 | 0.17742 | 0.16090 | 0.81152 |
FastABOD | 90 | 0.16071 | 0.14386 | 0.10916 | 0.09127 | 0.17742 | 0.16090 | 0.81142 |
KDEOS | 48 | 0.00000 | -0.02009 | 0.02950 | 0.01000 | 0.08261 | 0.06418 | 0.63224 |
KDEOS | 91 | 0.07143 | 0.05278 | 0.03351 | 0.01410 | 0.07547 | 0.05690 | 0.65099 |
KDEOS | 100 | 0.05357 | 0.03456 | 0.03453 | 0.01514 | 0.08108 | 0.06262 | 0.65639 |
LDF | 3 | 0.14286 | 0.12564 | 0.05305 | 0.03403 | 0.16495 | 0.14818 | 0.56350 |
LDF | 77 | 0.14286 | 0.12564 | 0.08427 | 0.06588 | 0.18045 | 0.16399 | 0.73582 |
LDF | 82 | 0.14286 | 0.12564 | 0.07351 | 0.05490 | 0.18898 | 0.17269 | 0.74411 |
LDF | 100 | 0.14286 | 0.12564 | 0.07589 | 0.05733 | 0.18056 | 0.16410 | 0.76728 |
INFLO | 6 | 0.08929 | 0.07099 | 0.03667 | 0.01732 | 0.10596 | 0.08800 | 0.60456 |
INFLO | 93 | 0.07143 | 0.05278 | 0.04039 | 0.02111 | 0.07843 | 0.05992 | 0.65979 |
INFLO | 96 | 0.07143 | 0.05278 | 0.04023 | 0.02095 | 0.08081 | 0.06235 | 0.66124 |
COF | 5 | 0.10714 | 0.08921 | 0.03741 | 0.01808 | 0.10811 | 0.09019 | 0.61115 |
COF | 87 | 0.05357 | 0.03456 | 0.03611 | 0.01675 | 0.08264 | 0.06422 | 0.68330 |
COF | 98 | 0.05357 | 0.03456 | 0.04328 | 0.02406 | 0.08696 | 0.06862 | 0.67820 |